Major mergers going Notts: challenges for modern halo finders

Peter Behroozi, Alexander Knebe, Frazer R. Pearce, Pascal Elahi, Jiaxin Han, Hanni Lux, Yao-Yuan Mao, Stuart I. Muldrew, Doug Potter, Chaichalit Srisawat

    Research output: Contribution to journalArticlepeer-review

    50 Citations (Web of Science)

    Abstract

    Merging haloes with similar masses (i.e. major mergers) pose significant challenges for halo finders. We compare five halo-finding algorithms' (AHF, HBT, ROCKSTAR, SUBFIND, and VELOCIRAPTOR) recovery of halo properties for both isolated and cosmological major mergers. We find that halo positions and velocities are often robust, but mass biases exist for every technique. The algorithms also show strong disagreement in the prevalence and duration of major mergers, especially at high redshifts (z > 1). This raises significant uncertainties for theoretical models that require major mergers for, e.g. galaxy morphology changes, size changes, or black hole growth, as well as for finding Bullet Cluster analogues. All finders not using temporal information also show host halo and subhalo relationship swaps over successive timesteps, requiring careful merger tree construction to avoid problematic mass accretion histories. We suggest that future algorithms should combine phase-space and temporal information to avoid the issues presented.

    Original languageEnglish
    Pages (from-to)3020-3029
    Number of pages10
    JournalMonthly Notices of the Royal Astronomical Society
    Volume454
    Issue number3
    DOIs
    Publication statusPublished - 11 Dec 2015

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